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Electronic Resource

Patent Analytics

Kim, Jieun - Personal Name; Jeong, Buyong - Personal Name; Kim, Daejung - Personal Name;

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Penilaian anda saat ini :  

Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.


Availability
Inventory Code Barcode Call Number Location Status
2108000303EB0005047658 Kim pCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
658 Kim p
Publisher
Singapore : Springer Singapore., 2021
Collation
xxii, 206p.:ill
Language
English
ISBN/ISSN
978-981-16-2930-3
Classification
658
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Business and Management
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related
TitleEditionLanguage
Patent Analytics1en
File Attachment
  • Patent Analytics
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